DOCSLIB.ORG

Dongning Guo Curriculum Vitae

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Dongning Guo Curriculum Vitae Dongning Guo Curriculum Vitae Contact Department of Electrical & Computer Engineering Northwestern University 2145 Sheridan Rd., Evanston, IL 60208 Tel: +1-847-491-3056 Fax: +1-847-491-4455 Email: [email protected] http://users.ece.northwestern.edu/∼dguo Employment 9/2015–present Professor Department of Electrical & Computer Engineering Northwestern University, Evanston, IL, USA. 9/2010–8/2015 Associate Professor Department of Electrical Engineering & Computer Science Northwestern University, Evanston, IL, USA. 9/2004–8/2010 Assistant Professor Department of Electrical Engineering & Computer Science Northwestern University, Evanston, IL, USA. 7/2014–6/2015 Visiting Scientist (courtesy appointment) Research Laboratory of Electronics Massachusetts Institute of Technology, Cambridge, MA, USA. 3/2011–8/2011 Consultant New Jersey Research & Development Center, Qualcomm Inc., Bridgewater, NJ, USA. 10/2010–2/2011 Visiting Professor Institute of Network Coding Chinese University of Hong Kong, China. 8/2006–9/2006 Visiting Professor Department of Electronics & Telecommunications Norwegian University of Science & Technology, Trondheim, Norway. 2/1998–8/1999 Research & Development Engineer Centre for Wireless Communications, Singapore. Education Ph.D., Electrical Engineering, 2004 Princeton University, Princeton, NJ. 1 Thesis: Gaussian Channels: Information, Estimation and Multiuser Detection Adviser: Sergio Verdu´ Committee: Sergio Verdu,´ Shlomo Shamai, H. Vincent Poor, Robert Calder- bank, Mung Chiang. M.A., Electrical Engineering, 2001 Princeton University, Princeton, NJ. M.Eng., Electrical Engineering, 1999 National University of Singapore, Singapore. Thesis: Linear Parallel Interference Cancellation in CDMA Adviser: Lars K. Rasmussen B.Eng., Electrical Engineering & Information Science, 1995 University of Science & Technology of China, Hefei, China. Teaching Experience EECS 222 Fundamentals of Signals and Systems (undergraduate) Instructor: Fall 2005, 2006. EECS 302 Probabilistic Systems and Random Signals (undergraduate) Instructor: Spring 2010, 2012, 2013, 2017, 2018, 2019, Fall 2019. EECS 307 Communication Systems (undergraduate/graduate) Instructor: Fall 2011, 2015. EECS 333 Introduction to Communication Networks (undergraduate/graduate) Instructor: Spring 2005, 2006, 2007, Fall 2007, 2008, 2009, 2012, Spring 2014, 2015, 2016, 2018, 2019. EECS 380 Wireless Communications (undergraduate/graduate) Instructor: Spring 2008, 2009. EECS 395 Blockchain and Cryptocurrency Instructor: Fall 2018. EECS 428 Information Theory (graduate) Instructor: Winter 2006, 2008, Fall 2009, Spring 2011, Fall 2013, Spring 2015, 2017. EECS 454 Advanced Communication Networks Instructor: Spring 2016. EECS 395/495 A Hands-on Course in Communications (titled Software Radio Laboratory when first offered in Winter 2013) Instructor: Winter 2013, 2014, 2017. EECS 510-1 Topics in Information Theory (graduate) Instructor: Winter 2007, 2009, Spring 2012. EECS 510-3 Multiuser Communications (graduate) Instructor: Winter 2005. 2 MSIT-431 Probability and Statistical Methods Instructor: Fall 2013, 2014, 2015, 2016, 2017, 2018, 2019. Short course: Network Information Theory Instructor: Aug. 31–Sept. 2, 2008, University of Science & Technology of China, Hefei, China. Short course: Information Theory Instructor: Mar. 6 and 8, 2006, Institute of Infocomm Research, Singapore. Grants PI, “CIF: Small: Wireless Massive Access: From Fundamental Limits to Practi- cal Design.” Sponsored by the National Science Foundation, $500,000, 10/1/2019– 9/30/2022. Senior personnel, “HDR TRIPODS: Collaborative Research: Institute for Data, Econometrics, Algorithms and Learning National Science Foundation, $833,820, 9/15/2019-–8/31/2022. PI, “CIF: Small: Many-User Information Theory: A New Paradigm.” Spon- sored by the National Science Foundation (CISE/CCF Program), $499,771, 9/1/2014–8/31/2019. PI, “Collaborative Research: Virtual Full-Duplex Wireless Networking.” Spon- sored by the National Science Foundation (ECCS/CCSS Program), $235,548, Sept. 2012–Sept. 2015. Co-PI (50%, with Michael L. Honig), “Graph-based Modeling and Algorithms for Interference Mitigation.” Sponsored by Cisco Systems, Inc., $90,000, June 2013–Apr. 2015. PI, “Assured Wireless Coverage via Mobile Relays.” Sponsored by the North- western Motorola Center for Seamless Wireless Communications, $120,000, Aug. 2012–Aug. 2014. PI (50%, with Michael L. Honig), “CIF:Small: Limited Feedback and Infor- mation Exchange for Wireless Systems.” Sponsored by the National Science Foundation (CISE/CCF Program), $498,084.00, Sept. 2010–Sept. 2014. PI (NSF CAREER Award), “Information Transmission and Optimal Estimation: Fundamentals and Applications.” Sponsored by the National Science Founda- tion (CISE/CCF Program), $400,000, Jan. 2007–Jan. 2013. PI (50%, with Randall A. Berry), “Rethinking Mobile Ad Hoc Networks: A Non-Equilibrium Information Theory.” Sponsored by DARPA (IT-MANET Pro- gram), Department of Defense, $700,456.67, Nov. 2006–Apr. 2011. (This is a subcontract of a grant across eight institutions totaling more than $6.5 mil- lion.) PI, “Interference Cancellation and Dual Antennas for Emerging OFDM-Based Wireless Systems.” Sponsored by the Northwestern Motorola Center for Seam- 3 less Wireless Communications, $150,000, Sept. 2005–Aug. 2008. Co-PI (50%, with Randall A. Berry), “Proposal for Supporting Students Attend- ing the Second Annual North American School of Information Theory.” Spon- sored by the National Science Foundation (CISE/CCF Program), $10,000, July 2009–Apr. 2010. Co-PI (50%, with Randall A. Berry), “Request for Support for the Second An- nual School of Information Theory.” Sponsored by DARPA and ARO, $20,000, July 2009–Apr. 2010. Honors & Awards IEEE Wireless Communication and Networking Conference Best Paper Award, 2017. Finalist of the DARPA Spectrum Challenge, 2014. Leader of Team Northwest- ern Wildcats. Lead a group of 13 undergraduate and graduate students to participated in the Qualifying Contest, the Preliminary Challenge, and the Fi- nal Challenge over a period of 15 months. Was one of 15 finalists out of 90 teams nationally. Adviser and co-author of Ph.D. student Lei Zhang, who won the 2011 IEEE International Symposium on Information Theory Student Paper Award [C38]. The IEEE Guglielmo Marconi Prize Paper Award in Wireless Communications, 2010 [J37]. (This annual award is for an original paper published in the IEEE Transactions on Wireless Communications.) National Science Foundation Faculty Early Career Development (CAREER) Award, 2007–2012. Runner-up of the 2007 Information Theory Society Paper Award [J49]. (Hon- orable mention in the Sept. 2007 issue of the IEEE Information Theory Society Newsletter.) The Huber & Suhner Best Student Paper Award, International Zurich Seminar on Broadband Communications, Switzerland, 2000. Ph.D. Theses Supervised [PhD1] M. Agarwal, Training and limited feedback strategies for fading chan- nel. PhD thesis, Northwestern University, 2008. Co-advised with M. L. Honig. Manish Agarwal is now with AQR Capital Manage- ment, CT, USA. [PhD2] J. Luo, Estimation of hidden Markov processes and neighbor discovery in wireless networks. PhD thesis, Northwestern University, 2010. Jun Luo was with Goldman Sachs; he is now founder and CEO of a derivatives trading firm in Beijing, China. 4 [PhD3] Y. Zhu, Interference Channels with Channel Uncertainties. PhD the- sis, Northwestern University, 2011. Co-advised with M. L. Honig. Yan Zhu is now with Broadcom, Inc., CA, USA. [PhD4] M. Xu, Limited Feedback and Information Exchange for Wireless Cel- lular Networks. PhD thesis, Northwestern University, 2012. Co- advised with M. L. Honig. Mingguang Xu is now with Marvell Tech- nology Group, CA, USA. [PhD5] L. Zhang, Virtual Full Duplex Wireless Networks. PhD thesis, North- western University, 2012. Lei Zhang is now with Qualcomm, Inc., NJ, USA. [PhD6] K. H. Hui, Medium Access Control for Wireless Networks with Peer- to-Peer State Exchange. PhD thesis, Northwestern University, 2012. Co-advised with R. A. Berry. Ka Hung Hui is now with Google, Inc., CA, USA. [PhD7] B. Zhuang, Interference and Resource Management in Heterogeneous Cellular Networks. PhD thesis, Northwestern University, 2015. Co- advised with M. L. Honig. Binnan Zhuang is now with Samsung, San Diego, CA, USA. [PhD8] F. Teng, Resource Management in Next Generation Wireless Net- works: Optimization and Games. PhD thesis, Northwestern Uni- versity, 2016. [PhD9] X. Chen, Internet of Things: Fundamental Limits and Practical Algo- rithms. PhD thesis, Northwestern University, 2016. Xu Chen is now with NIO, Inc. [PhD10] Z. Zhou, Centralized Radio Resource Management for Metropolitan Area Networks. PhD thesis, Northwestern University, 2018. Zhiyi Zhou is now with Susquehanna, PA. [PhD11] R. Keating, Multiuser Ranging and Localization for Future Wireless Networks. PhD thesis, Northwestern University, 2018. Ryan Keating is now with Nokia, IL. Services Chair, Electrical Engineering Curriculum Committee, 2014–date. Member, EECS Faculty Search Committee (for a junior position in devices), 2016–2017. Chair, EECS Faculty Search Committee (for a junior position in communica- tions, networking and control), 2013–2014. Succeeded in hiring a junior fac- ulty member (of underrepresented group). Chair, EECS Faculty Search Committee (for a junior position in communica- tions, networking and control), 2012–2013. Search concluded without hire. 5 Member, EECS Faculty Search Committee (for a junior position in graphics, human-computer interaction and
Load more

Recommended publications
  • 2007 Lake Monitoring Report Mecklenburg County Water Quality Program SWIM Phase I Part 2-CO
    2007 Lake Monitoring Report Mecklenburg County Water Quality Program SWIM Phase I Part 2-CO Prepared by: David Buetow Final Report for FY2007-2008 PURPOSE AND BACKGROUND The Mecklenburg County Water Quality Program (MCWQP) has an ongoing program to monitor the water quality in the three Catawba Lakes bordering the county: Lake Norman, Mountain Island Lake and Lake Wylie. Samples are also routinely collected at the two water bodies in the northern end of Mecklenburg County cut off from Lake Norman proper by I-77: Lake Cornelius and Lake Davidson. Data collected from all lake sites are used to screen for environmental problems using MCWQP Action and Watch levels for various pollutants and also to rate the overall water quality at sampling locations in the lakes using a water quality index. Additional objectives are to describe seasonal trends and address spatial variability in the data. This report presents the lake monitoring data for the calendar year 2007 ACTIVITIES AND METHODS Regular monthly lake sampling was conducted at seven locations in Lake Norman and one location each on Lake Cornelius and Lake Davidson (Appendix A), ten locations in Mountain Island Lake (Appendix B) and eight sampling locations in Lake Wylie (Appendix C). In May 2007, the sampling program was changed in Lake Wylie to add several new cove monitoring sites. This resulted in an increase in regular sampling sites in Lake Wylie from eight to thirteen (Appendix D). Lakes Norman, Wylie and Mountain Island were sampled monthly from May through September and every other month during the rest of the year, i.e.
    [Show full text]
  • World Para Nordic Skiing Homologation Guide Version 2017
    World Para Nordic Skiing Homologation Guide Version 2017 Homologation of courses for World Para Nordic Skiing (WPNS) (Para Cross Country Skiing and Para Biathlon for skiers with impairments) 1 General In general, the philosophy for FIS homologation, and the requirements and recommendations for stadium and course design applies to World Para Nordic Skiing as well. IBU requirements for stadium, range and course design are also applicable, particularly on IBU venues. See FIS Homologation manual for: - Philosophy of Homologation - Course Design Criteria - Design of courses - Stadium - Waxing cabins, Ski test area, warm up course - Practicing homologation skills However, since certain classes and categories have clear physical limitations, the courses must in general be made easier, with special attention to fast downhill sections, sharp curves, and steep or long up hills. The following sections will describe areas within homologation work that specifically should be considered when designing courses for Paralympic Nordic Skiing athletes. 2 Definitions 2.1 HD (height difference) is the difference in height between the lowest and highest points of a competition course. 2.2 MC (Maximum climb) is the climb with the highest partial height difference, in other terms, the biggest uphill. The uphill can be interrupted by a section of undulating terrain that does not exceed 200 m in length or a downhill that does not exceed 10 m PHD. 2.3 TC (Total climb) represents a total of all climbs on the course. World Para Nordic Skiing Homologation Guide ver 2017 1 3 Classification Paralympic Nordic Skiing athletes are classified according to the following table: Category Class Region Impairment Main sport equipment and degree of impairment Standing LW2 Impairments in one lower limb (ex.
    [Show full text]
  • Framework for In-Field Analyses of Performance and Sub-Technique Selection in Standing Para Cross-Country Skiers
    sensors Article Framework for In-Field Analyses of Performance and Sub-Technique Selection in Standing Para Cross-Country Skiers Camilla H. Carlsen 1,*, Julia Kathrin Baumgart 1, Jan Kocbach 1,2, Pål Haugnes 1 , Evy M. B. Paulussen 1,3 and Øyvind Sandbakk 1 1 Centre for Elite Sports Research, Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; [email protected] (J.K.B.); [email protected] (J.K.); [email protected] (P.H.); [email protected] (E.M.B.P.); [email protected] (Ø.S.) 2 NORCE Norwegian Research Centre AS, 5008 Bergen, Norway 3 Faculty of Health, Medicine & Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands * Correspondence: [email protected]; Tel.: +47-452-40-788 Abstract: Our aims were to evaluate the feasibility of a framework based on micro-sensor technology for in-field analyses of performance and sub-technique selection in Para cross-country (XC) skiing by using it to compare these parameters between elite standing Para (two men; one woman) and able- bodied (AB) (three men; four women) XC skiers during a classical skiing race. The data from a global navigation satellite system and inertial measurement unit were integrated to compare time loss and selected sub-techniques as a function of speed. Compared to male/female AB skiers, male/female Para skiers displayed 19/14% slower average speed with the largest time loss (65 ± 36/35 ± 6 s/lap) Citation: Carlsen, C.H.; Kathrin found in uphill terrain.
    [Show full text]
  • World Para Nordic Skiing WC Points Winter Season 2019/20
    World Para Nordic Skiing World Cup Overall Rankings Winter Season 2019/20 World Para Nordic Skiing WC Points Winter Season 2019/20 World Cup Overall Rankings Cross Country created by IPC Sport Data Management System Period Start: 2019-07-01 | Period End: 2020-06-30 Women's VI Rank SDMS ID Name NPC Class WC Points Tie Break 1 43739 Khlyzova, Vera RUS B2 600 2 43732 Panferova, Anna RUS B2 560 3 13436 Sakhanenka, Sviatlana BLR B2 515 4 29128 Edlinger, Carina AUT B1 405 5 13605 Lysova, Mikhalina RUS B2 285 6 23918 Galitsyna, Marina RUS B1 258 7 43733 Umrilova, Vlada RUS B3 190 8 13657 Shyshkova, Oksana UKR B2 180 9 35723 Walter, Leonie Maria GER B2 165 10 19064 Klug, Clara GER B1 126 11 43734 Tereshchenkova, Margarita RUS B3 117 12 23987 Smirnova, Iuliia RUS B2 102 13 13525 Hoesch, Vivian GER B1 82 14 35103 Recktenwald, Johanna GER B2 76 15 43740 Razumnaia, Ekaterina RUS B2 66 16 40995 Kapustei, Andriana UKR B2 56 17 44280 Tkachenko, Nataliia UKR B2 52 18 13619 Remizova, Elena RUS B3 48 19 23919 Moshkovskaia, Ekaterina RUS B2 24 20 43742 Berezhnaia, Kseniia RUS B2 20 Women's Standing Rank SDMS ID Name NPC Class WC Points Tie Break 1 31597 Nilsen, Vilde NOR LW4 780 2 23402 Rumyantseva, Ekaterina RUS LW5/7 385 3 19080 Liashenko, Liudmyla UKR LW8 380 4 13643 Batenkova-Bauman, Yuliia UKR LW6 350 5 13648 Kononova, Oleksandra UKR LW8 325 6 29233 Mikheeva, Iuliia RUS LW8 264 7 30463 Faron, Iweta POL LW8 239 8 35400 Wilkie, Natalie CAN LW8 238 9 31663 Konashuk, Bohdana UKR LW8 188 10 20534 Ostroborodko, Anna RUS LW8 177 11 20641 Hudak, Brittany CAN
    [Show full text]
  • World Para Alpine Skiing WC Points Winter Season 2020/21
    World Para Alpine Skiing World Cup Individual Rankings Winter Season 2020/21 World Para Alpine Skiing WC Points Winter Season 2020/21 World Cup Individual Rankings created by IPC Sport Data Management System Period Start: 2020-07-01 | Period End: 2021-06-30 Women's Slalom VI Rank SDMS ID Name NPC Class WC Points Tie Break 1 23842 Ristau, Noemi Ewa GER B2 220 2 22142 Aigner, Veronika AUT B2 200 3 40290 Aigner, Barbara AUT B3 180 4 44235 Rexova, Alexandra SVK B2 160 5 31601 Bennink, Maaike NED B2 60 6 13349 Farkasova, Henrieta SVK B3 50 Women's Slalom Standing Rank SDMS ID Name NPC Class WC Points Tie Break 1 29162 Rieder, Anna-Maria GER LW9-1 260 2 13162 Rothfuss, Andrea GER LW6/8-2 210 3 29136 Voronchikhina, Varvara RUS LW6/8-2 180 4 13116 Bochet, Marie FRA LW6/8-2 140 5 24067 Smetisko, Lucija CRO LW6/8-2 120 6 41102 Aarsjoe, Ebba SWE LW4 100 7 14585 Khorosheva, Anastasiia RUS LW9-2 50 8 42372 Richard, Aurelie FRA LW6/8-2 45 Women's Slalom Sitting Rank SDMS ID Name NPC Class WC Points Tie Break 1 13161 Forster, Anna-Lena GER LW12-1 400 2 21797 van Bergen, Barbara NED LW11 80 Men's Slalom VI Rank SDMS ID Name NPC Class WC Points Tie Break 1 13724 Deleplace, Hyacinthe FRA B2 230 2 20881 Bertagnolli, Giacomo ITA B3 200 24.30 (§302.3) 3 35366 Simpson, Neil GBR B3 200 35.60 (§302.3) 4= 40291 Aigner, Johannes AUT B2 160 4= 13338 Krako, Jakub SVK B2 160 6 13335 Haraus, Miroslav SVK B2 105 7 44167 Scharnagl, Michael AUT B3 100 IPC Sport Data Management System Page 1 of 7 26 September 2021 at 01:38:04 CEST World Para Alpine Skiing World Cup Individual
    [Show full text]
  • Classification Made Easy Class 1
    Classification Made Easy Class 1 (CP1) The most severely disabled athletes belong to this classification. These athletes are dependent on a power wheelchair or assistance for mobility. They have severe limitation in both the arms and the legs and have very poor trunk control. Sports Available: • Race Runner (RR1) – using the Race Runner frame to run, track events include 100m, 200m and 400m. • Boccia o Boccia Class 1 (BC1) – players who fit into this category can throw the ball onto the court or a CP2 Lower who chooses to push the ball with the foot. Each BC1 athlete has a sport assistant on court with them. o Boccia Class 3 (BC3) – players who fit into this category cannot throw the ball onto the court and have no sustained grasp or release action. They will use a “chute” or “ramp” with the help from their sport assistant to propel the ball. They may use head or arm pointers to hold and release the ball. Players with a impairment of a non cerebral origin, severely affecting all four limbs, are included in this class. Class 2 (CP2) These athletes have poor strength or control all limbs but are able to propel a wheelchair. Some Class 2 athletes can walk but can never run functionally. The class 2 athletes can throw a ball but demonstrates poor grasp and release. Sports Available: • Race Runner (RR2) - using the Race Runner frame to run, track events include 100m, 200m and 400m. • Boccia o Boccia Class 2 (BC2) – players can throw the ball into the court consistently and do not need on court assistance.
    [Show full text]
  • 1St IEEE 5G World Forum
    1st IEEE 5G World Forum Roadmap Applications & Services Workgroup: 5G is Power Starved Brian Zahnstecher, Principal, IEEE Senior Member Chair, SF Bay IEEE Power Electronics Society (PELS) Power Content Owner, IEEE 5G Initiative Roadmap, Application Services Workgroup Co-chair, IEEE 5G Initiative Webinar Chair, IEEE 5G Energy Efficiency Tutorial [email protected] +1 (508) 847-5747 PowerRox™ www.powerrox.com Twitter: @PowerRoxLLC LinkedIn: www.linkedin.com/in/zahnstecher Monday, July 9, 2018 DISCLAIMER There is neither any sponsored promotion nor bias toward any of the products/organizations mentioned in this tutorial. Any vendor-specific content is provided for example purposes only. 2 ALL INFORMATION SHALL BE CONSIDERED SPEAKER PROPERTY UNLESS OTHERWISE SUPERSEDED BY ANOTHER DOCUMENT. OVERVIEW • Marketing Projections Vs. Reality • What is the power gap? • Power Sources Vs. Loads • Making the Projections a Reality • Summary / Conclusions 3 ALL INFORMATION SHALL BE CONSIDERED SPEAKER PROPERTY UNLESS OTHERWISE SUPERSEDED BY ANOTHER DOCUMENT. Market Projections Vs. Reality • Network Usage Projections . How do these translate to load projections? . Which components ARE Moore’s Law Like? o Which are NOT? 54% YoY growth!!! IMAGES CREDIT: "Ericsson Mobility Report 2018," Ericsson, June 2018. 4 ALL INFORMATION SHALL BE CONSIDERED SPEAKER PROPERTY UNLESS OTHERWISE SUPERSEDED BY ANOTHER DOCUMENT. Market Projections Vs. Reality • Network Usage Projections . How will shifts in global usage markets impact the availability of power? . Is WW power projected to grow on the same trajectory? IMAGES CREDIT: "Estimated U.S. Energy Net Generation 1950-2018," US EIA, July 2018. IMAGES CREDIT: "Ericsson Mobility Report 2018," Ericsson, June 2018. 5 ALL INFORMATION SHALL BE CONSIDERED SPEAKER PROPERTY UNLESS OTHERWISE SUPERSEDED BY ANOTHER DOCUMENT.
    [Show full text]
  • Classification Information Sheet Para-Cross Country Skiing
    Classification Information Sheet Para-Cross Country Skiing This information is intended to be a generic guide to classification for Para-Cross Country Skiing. The classification of athletes in this sport is performed by authorised classifiers according to the World Para Nordic Skiing classification rules. What is the classification process? Trained classifiers assess an athlete using the World Para Nordic Skiing classification rules to determine the following: 1. Does the athlete have an eligible impairment type? An athlete must have a permanent eligible impairment type and provide medical documentation detailing their diagnosis and health condition. 2. Does the athlete meet the minimum impairment criteria for the sport? Specific criteria applied to each sport to determine if a person’s impairment results in sufficient limitation in their sport. This is called the minimum impairment criteria. 3. What is the appropriate class to allocate the athlete for competition? Classes are detailed in the classification rules for the sport and a classifier determines the class an athlete will compete in. Which Paralympic impairment groups compete in Para-Cross Country Skiing? Athletes are required to have a permanent, eligible impairment and will be required to provide medical diagnostic information about their diagnosis and impairment. Eligible Impairment Type Examples of health conditions Vision Reduced or no vision in both eyes caused by damage to the eye structure, optical Impairment nerves/optic pathways, or visual cortex of the brain. Includes
    [Show full text]
  • ANNUAL REPORT Financial Statements
    ANNUAL REPORT Financial Statements 2005 – 2006 Torino 2006 Paralympic Games Contents Officers and Officials …………..3 Chairman’s Report …………..4 Chief Executive Report …………..4 PNZ Board .…………..5 PNZ Staff & Service Providers .…………..6 SPARC .…………..7 International Paralympic Committee .…………..7 Sponsors & Supporters .…………..8 High Performance Report ………….9 Lion Foundation Paralympic Academy .………….9 Sports Science Report .………….10 Athletes Report ………….10 International Teams and Results ………….12 PA/NZAS Carded Athletes ………….19 PNZ / NZAS Sport Liaison .………….19 Operations Report ………… 19 Key Relationships ……….….19 Events ……….….20 PNZ National Championships ……….….20 Beijing 2008 Planning / IT .………….20 Classification Report ………….21 Classifiers ….……….23 New Year Honours ..………..24 Obituary’s ..………..24 Financial Statements …………..F Statement of Financial Performance .……….…F1 Statement of Financial Position .……….…F2 Notes to the Accounts .……….…F3 Auditors Report ……….….F7 New Zealand Paralympians …………25 Strategic Plan 05-09 …………28 Sponsors and Partners …………29 2 Officers and Officials Patron Mr. Paul Holmes, NZOM Board Mr. Simon Peterson (Chair) Ms. Sandra Blewett, MBE Mr. Ross Darrah Mr. Marc Frewin (co-opted June 06) Mrs. Gillian Hall Mr. Duane Kale Mr. David Rutherford Athletes Representative Mr. Tim Prendergast & Mr. Matt Slade Honorary Solicitor Mr. John Wiltshire, LLB Auditors Hayes Knight & Co Bankers ASB Bank Ltd, Remuera, Auckland Support Office Staff Chief Executive Officer Mr. Craig Hobbs High Performance Manager Ms. Helen Murphy Operations Manager Mr. Vaughan Cruickshank (to Feb 06) Ms. Fiona Allan (from May 06) Administration Mrs. Val Hall Operations Officer Mr. Wade Chang Medical Director Dr. Paul Wharam, BM, DRCOG, FRNZGP, Dip Sports Med. Sports Science Coordinator University of Canterbury; Mr Malcolm Humm Classification Coordinator Mrs. Rebecca Foulsham (to June 06) Mrs.
    [Show full text]
  • World Para Alpine Skiing EC Points Winter Season
    World Para Alpine Skiing Europa Cup Overall Rankings Winter Season 2016/17 World Para Alpine Skiing EC Points Winter Season 2016/17 Europa Cup Overall Rankings created by IPC Sport Data Management System Period Start: 2016-07-01 | Period End: 2017-06-30 Women's VI Rank SDMS ID Name NPC Class EC Points Tie Break 1 24063 Goluza, Eva CRO B2 625 2 24071 Sana, Eleonor BEL B3 560 3 23842 Ristau, Noemi Ewa GER B2 430 4 12946 Perrine, Melissa AUS B2 400 5 20310 Dessart, Marie-Morgane BEL B3 270 6 13418 Umstead, Danelle USA B2 215 7 13140 Gallagher, Kelly GBR B3 100 8= 14237 Mannella, Staci USA B3 80 8= 16125 Yang, Jae Rim KOR B2 80 Women's Standing Rank SDMS ID Name NPC Class EC Points Tie Break 1 13086 Pueyo Marimon, Ursula ESP LW2 829 2 17261 Schmidt, Bigna SUI LW5/7-3 660 3 29162 Rieder, Anna-Maria GER LW9-1 600 4 13206 Corradini, Melania ITA LW6/8-1 440 5 13261 Jochemsen, Anna NED LW2 360 6 13162 Rothfuss, Andrea GER LW6/8-2 300 7 31624 Hondo, Ammi JPN LW6/8-2 260 8 17095 Chatel-Laley, Marie FRA LW9-2 215 9 22219 Perez de Juan, Barbara ESP LW4 210 10 20240 Turgeon, Frederique CAN LW2 141 11 26952 Pemble, Mel CAN LW9-2 125 12 22832 Jepsen, Mollie CAN LW6/8-2 80 13 13034 Schwartz, Melanie USA LW2 77 14 31418 Joechl, Eva-Maria AUT LW6/8-1 60 15 13351 Smarzova, Petra SVK LW6/8-2 40 Women's Sitting Rank SDMS ID Name NPC Class EC Points Tie Break 1 18077 Hagspiel, Ruth GER LW10-1 595 2 28882 Tuertscher, Heike AUT LW12-1 490 3 21797 van Bergen, Barbara NED LW11 460 4 12977 Loesch, Claudia AUT LW11 380 5 13163 Schaffelhuber, Anna GER LW10-2 260 6
    [Show full text]
  • International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-5, January 2020
    International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-5, January 2020 5G Massive Multiple Input and Multiple Output System with Maximum Spectral Performance N C A Boovarahan, K. Umapathy channel fading function isn't always clearly exploited. Abstract: Massive MIMO is the presently maximum compelling Various subcarrier [15-18]choice techniques are sub-6 GHz physical-layer era for destiny wireless access. Excellent mentioned by manner of dividing the spectrum allocation spectral overall performance finished through manner of spatial techniques in broad classes i.e. Single channel allocation and multiplexing of many terminals inside the equal time-frequency resource. The 5G structures are characterized through excessive group of channel allocation. The SCS-MC-CDMA device transmission records prices, 1Gbps and above, so large bandwidth allocates to every person and selected a wide form of transmission is expected. The most vital objectives within the 5G sub-vendors [16]. wireless systems design is to deal with the excessive inter photograph interference (ISI) as a consequence of the high II. SUB CHANNEL SELECTION ALGORITHM & statistics fees, and using the accessible spectral bandwidth in MAXIMUM THROUGHPUT resourceful way.MC-CDMA is categorized in to two methods that is ODFM and CDMA. Efficient useful resource allocation is the The main end result of our paper shows that the Eigen principle trouble within the development of fourth generation values of the correlation matrix of the effective channel can be cellular communication systems. For utilizing the internet and properly approximated via sampling values of the multimedia a maximum data fee is preferred, so in this paper the general performance of MC-CDMA systems the usage of Sylow autocorrelation of the time-varying transfer function.
    [Show full text]
  • IPC Alpine Skiing Classification Rules and Regulations
    IPC Alpine Skiing Classification Rules and Regulations 05 December 2012 International Paralympic Committee Adenauerallee 212-214 Tel.+49 228 2097-200 www.paralympic.org 53113 Bonn, Germany Fax+49 228 2097-209 [email protected] Content 1 INTRODUCTION TO CLASSIFICATION ..................................................................................................... 4 1.1 GOVERNANCE ........................................................................................................................................................... 4 1.2 STRUCTURE OF CLASSIFICATION REGULATIONS .................................................................................................................. 4 1.3 PURPOSE OF CLASSIFICATION REGULATIONS ..................................................................................................................... 4 1.4 IPC CLASSIFICATION CODE ........................................................................................................................................... 5 1.5 DEFINITIONS ............................................................................................................................................................. 5 2 CLASSIFIERS .......................................................................................................................................... 5 2.1 CLASSIFICATION PERSONNEL ......................................................................................................................................... 5 2.2 CLASSIFIERS – LEVELS
    [Show full text]